Computing Monte-Carlo simulated p-values for t-tests or ANOVA is an interesting non-parametric approach to perform these tests using the real "raw" data instead of ranks. This approach is implemented in the coin package in R.

Bonjour, serait-il possible d'exploiter les Cartes de Kohonen ou Self Aggregating Maps à l'intérieur d'Xlstat?

The attached image speaks for itself: each pair of bars is a dependent variable in the context of a one-way ANOVA model (factor: sample with two levels). The factor has a significant effect on the output for Attribute 1.

For ANOVA analysis, there is an option to "sort up" the statistical lettering, so that the lowest mean is paired with a, the next lowest is paired with b, and so on (ex: 1.5a, 3.6b, 10.4c). If this option is not checked, the highest mean will be p...

We are very happy with your current network version but we would like an amelioration with this new feature to expand this usage.

An option to color boxplots according to subsamples would help in improving chart visibility.

Many popular supervised machine learning methods have recently been implemented in XLSTAT. Adding Support Vector Machines would add considerable value to the list.